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ORCIDArmaghan Moemeni
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Books and Theses
- 2014
[b1]Armaghan Moemeni:
Hybrid marker-less camera pose tracking with integrated sensor fusion. De Montfort University, Leicester, UK, 2014
Journal Articles
- 2023
- [j5]Saúl Calderón Ramírez
, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio:
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4(2): 282-291 (2023) - 2022
- [j4]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities. Appl. Soft Comput. 123: 108983 (2022) - [j3]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Armaghan Moemeni, Miguel A. Molina-Cabello:
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical Biol. Eng. Comput. 60(4): 1159-1175 (2022) - 2021
- [j2]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9: 85442-85454 (2021) - [j1]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. 111: 107692 (2021)
Conference and Workshop Papers
- 2023
- [c8]Jialin Chen, Armaghan Moemeni, Praminda Caleb-Solly:
Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation. HRI (Companion) 2023: 644-648 - [c7]Ziling Wu, Armaghan Moemeni, Simon Castle-Green, Praminda Caleb-Solly:
Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset. IJCNN 2023: 1-10 - 2021
- [c6]Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello:
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN 2021: 1-8 - 2020
- [c5]Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello:
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR 2020: 5294-5301 - [c4]Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena:
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. IJCNN 2020: 1-6 - 2018
- [c3]Hossein Malekmohamadi, Armaghan Moemeni, Ahmet Orun, Jayendra Kumar Purohit:
Low-Cost Automatic Ambient Assisted Living System. PerCom Workshops 2018: 693-697 - 2014
- [c2]Armaghan Moemeni, Eric W. Tatham:
Inertial-visual pose tracking using optical flow-aided particle filtering. CIMSIVP 2014: 219-226 - 2010
- [c1]Armaghan Moemeni, Eric W. Tatham:
A framework for camera pose tracking using stochastic data fusion. ICE-GIC 2010: 1-7
Informal and Other Publications
- 2021
- [i3]Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni:
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. CoRR abs/2109.00889 (2021) - 2020
- [i2]Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello:
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR abs/2006.07767 (2020) - [i1]Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello:
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR abs/2008.08496 (2020)
Coauthor Index
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